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Uncovering User Interaction Dynamics in Online Social Networks

Authors

Zhi Yang,jilong xue,Christo Wilson,Ben Zhao,Yafei Dai

Peking University,Peking University,Northeastern University,University of California, Santa Barbara,Peking University


Proceedings:

Proceedings of the International AAAI Conference on Web and Social Media, 9

Volume

Issue:

Vol. 9 No. 1 (2015): Ninth International AAAI Conference on Web and Social Media

Track:

Poster Papers

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Abstract:

Measurement studies of online social networks (OSNs)show that all social links are not equal, and the strength of each link is best characterized by the frequency of interactions between the linked users. To date, few studieshave been able to examine detailed interactiondata over time. In this paper, we first analyze the interaction dynamics in a large online social network. We find that users invite new friends to interact at a nearly constant rate, prefer to continue interacting with friends with whom they have a larger number of historical interactions,and most social links drop in interaction frequency over time. Then, we use our insights from the analysis to derive a generative model of social interactionsthat can capture fundamental processes underlinguser interactions.

DOI:

10.1609/icwsm.v9i1.14654


ICWSM

Vol. 9 No. 1 (2015): Ninth International AAAI Conference on Web and Social Media